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Related Experiment Video

Updated: Jan 16, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

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Published on: June 26, 2013

Spatial architecture of development and disease.

Enikő Lázár¹, Joakim Lundeberg²

¹Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden. eniko.lazar@scilifelab.se.

Nature Reviews. Genetics

|October 1, 2025

Summary

High-throughput spatial omics reveal how molecular organization in tissues impacts health and disease. These advanced technologies offer new insights into disease mechanisms and potential clinical applications.

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Area of Science:

Biomedical Sciences
Molecular Biology
Pathology

Background:

Tissue architecture is shaped by a complex molecular landscape.
Disruptions in spatial molecular context can lead to disease.
High-throughput spatial omics technologies offer detailed insights into tissue complexity.

Purpose of the Study:

To review spatially resolved pathological molecular alterations in various diseases.
To explore the application of spatial omics in understanding disease mechanisms.
To discuss the clinical translation of spatial omics technologies.

Main Methods:

Review of recent advances in high-throughput spatial omics.
Analysis of spatially resolved molecular data across diverse disease contexts.
Examination of artificial intelligence applications in spatial analysis.

Main Results:

Spatial omics enable discovery of molecular signatures, cell states, and niches.
These technologies provide insights into disease heterogeneity.
Spatially resolved pathological alterations are observed in developmental disorders, cancer, fibrosis, neurodegeneration, and inflammation.

Conclusions:

Spatial omics are revolutionizing the understanding of tissue organization in health and disease.
Challenges and opportunities exist in advancing these technologies for clinical use.
Future directions include multidimensional tissue assessment and AI integration.